A Bibliometric Review of Brain–Computer Interfaces in Motor Imagery and Steady-State Visually Evoked Potentials for Applications in Rehabilitation and Robotics
In this paper, a bibliometric review is conducted on brain–computer interfaces (BCI) in non-invasive paradigms like motor imagery (MI) and steady-state visually evoked potentials (SSVEP) for applications in rehabilitation and robotics. An exploratory and descriptive approach is used in the analysis....
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/1/154 |
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| author | Nayibe Chio Eduardo Quiles-Cucarella |
| author_facet | Nayibe Chio Eduardo Quiles-Cucarella |
| author_sort | Nayibe Chio |
| collection | DOAJ |
| description | In this paper, a bibliometric review is conducted on brain–computer interfaces (BCI) in non-invasive paradigms like motor imagery (MI) and steady-state visually evoked potentials (SSVEP) for applications in rehabilitation and robotics. An exploratory and descriptive approach is used in the analysis. Computational tools such as the biblioshiny application for R-Bibliometrix and VOSViewer are employed to generate data on years, sources, authors, affiliation, country, documents, co-author, co-citation, and co-occurrence. This article allows for the identification of different bibliometric indicators such as the research process, evolution, visibility, volume, influence, impact, and production in the field of brain–computer interfaces for MI and SSVEP paradigms in rehabilitation and robotics applications from 2000 to August 2024. |
| format | Article |
| id | doaj-art-2b1de488ff00494093bea1e42314d8ed |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-2b1de488ff00494093bea1e42314d8ed2025-01-10T13:21:03ZengMDPI AGSensors1424-82202024-12-0125115410.3390/s25010154A Bibliometric Review of Brain–Computer Interfaces in Motor Imagery and Steady-State Visually Evoked Potentials for Applications in Rehabilitation and RoboticsNayibe Chio0Eduardo Quiles-Cucarella1Instituto de Automática e Informática Industrial, Universitat Politècnica de València, 46022 Valencia, SpainInstituto de Automática e Informática Industrial, Universitat Politècnica de València, 46022 Valencia, SpainIn this paper, a bibliometric review is conducted on brain–computer interfaces (BCI) in non-invasive paradigms like motor imagery (MI) and steady-state visually evoked potentials (SSVEP) for applications in rehabilitation and robotics. An exploratory and descriptive approach is used in the analysis. Computational tools such as the biblioshiny application for R-Bibliometrix and VOSViewer are employed to generate data on years, sources, authors, affiliation, country, documents, co-author, co-citation, and co-occurrence. This article allows for the identification of different bibliometric indicators such as the research process, evolution, visibility, volume, influence, impact, and production in the field of brain–computer interfaces for MI and SSVEP paradigms in rehabilitation and robotics applications from 2000 to August 2024.https://www.mdpi.com/1424-8220/25/1/154brain–computer interfacesteady-state visually evoked potentialmotor imageryrehabilitationrobot armrobot hand |
| spellingShingle | Nayibe Chio Eduardo Quiles-Cucarella A Bibliometric Review of Brain–Computer Interfaces in Motor Imagery and Steady-State Visually Evoked Potentials for Applications in Rehabilitation and Robotics Sensors brain–computer interface steady-state visually evoked potential motor imagery rehabilitation robot arm robot hand |
| title | A Bibliometric Review of Brain–Computer Interfaces in Motor Imagery and Steady-State Visually Evoked Potentials for Applications in Rehabilitation and Robotics |
| title_full | A Bibliometric Review of Brain–Computer Interfaces in Motor Imagery and Steady-State Visually Evoked Potentials for Applications in Rehabilitation and Robotics |
| title_fullStr | A Bibliometric Review of Brain–Computer Interfaces in Motor Imagery and Steady-State Visually Evoked Potentials for Applications in Rehabilitation and Robotics |
| title_full_unstemmed | A Bibliometric Review of Brain–Computer Interfaces in Motor Imagery and Steady-State Visually Evoked Potentials for Applications in Rehabilitation and Robotics |
| title_short | A Bibliometric Review of Brain–Computer Interfaces in Motor Imagery and Steady-State Visually Evoked Potentials for Applications in Rehabilitation and Robotics |
| title_sort | bibliometric review of brain computer interfaces in motor imagery and steady state visually evoked potentials for applications in rehabilitation and robotics |
| topic | brain–computer interface steady-state visually evoked potential motor imagery rehabilitation robot arm robot hand |
| url | https://www.mdpi.com/1424-8220/25/1/154 |
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